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Anja Jankovic
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Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants
A Jankovic, C Doerr
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 841-849, 2020
472020
Per-run algorithm selection with warm-starting using trajectory-based features
A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ...
International Conference on Parallel Problem Solving from Nature, 46-60, 2022
362022
Adaptive landscape analysis
A Janković, C Doerr
Proceedings of the genetic and evolutionary computation conference companion …, 2019
332019
Towards feature-based performance regression using trajectory data
A Jankovic, T Eftimov, C Doerr
Applications of Evolutionary Computation: 24th International Conference …, 2021
302021
The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection
A Jankovic, G Popovski, T Eftimov, C Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 687-696, 2021
272021
Trajectory-based algorithm selection with warm-starting
A Jankovic, D Vermetten, A Kostovska, J de Nobel, T Eftimov, C Doerr
2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022
82022
Personalizing performance regression models to black-box optimization problems
T Eftimov, A Jankovic, G Popovski, C Doerr, P Korošec
Proceedings of the Genetic and Evolutionary Computation Conference, 669-677, 2021
82021
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
A Kostovska, A Jankovic, D Vermetten, S Džeroski, T Eftimov, C Doerr
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
72023
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
C Benjamins, A Jankovic, E Raponi, K van der Blom, M Lindauer, C Doerr
arXiv preprint arXiv:2211.09678, 2022
52022
PI is back! switching acquisition functions in bayesian optimization
C Benjamins, E Raponi, A Jankovic, K van der Blom, ML Santoni, ...
arXiv preprint arXiv:2211.01455, 2022
32022
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
A Kostovska, G Cenikj, D Vermetten, A Jankovic, A Nikolikj, U Skvorc, ...
International Conference on Automated Machine Learning, 11/1-17, 2023
2023
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
C Benjamins, E Raponi, A Jankovic, C Doerr, M Lindauer
GECCO'23 Companion: Companion Conference on Genetic and Evolutionary …, 2023
2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
C Benjamins, E Raponi, A Jankovic, C Doerr, M Lindauer
arXiv preprint arXiv:2306.04262, 2023
2023
Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization
A Jankovic
Sorbonne Université, 2021
2021
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